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Beliefs, Precedent, and the Dynamics of Access to Justice: A Bayesian Microfounded Model
American Law and Economics Review ( IF 1.0 ) Pub Date : 2016-09-16 , DOI: 10.1093/aler/ahw010
Giorgio Rampa , Margherita Saraceno

This study adds to the literature on how both plaintiffs' beliefs and legal precedent affect access to justice. It also studies how actual accesses to the judiciary result, in turn, in the establishment of further precedent that is able to affect the behavior of new prospective plaintiffs. The analysis is based on a micro-founded Bayesian learning model. The dynamic model shows that precedent, indeed, can rectify biased beliefs. However, the rectification power significantly depends upon both the merit of the case and the stickiness of subjective beliefs. The results highlight that although plaintiffs learn from precedent, under some circumstances meritorious causes of action hardly proceed through the court, or can even disappear from the court after an initial positive trend; on the other hand, frivolous claims can continue to flourish.

中文翻译:

信念,先例和诉诸司法的动力:贝叶斯微观基础模型

这项研究增加了有关原告的信仰和法律先例如何影响诉诸司法的文献。它还研究了如何实际进入司法体系,进而建立了能够影响新的原告行为的进一步的先例。该分析基于微观基础的贝叶斯学习模型。动态模型表明,先例确实可以纠正偏见。但是,整改权在很大程度上取决于案情的优劣和主观信念的粘性。结果表明,尽管原告可以借鉴先例,但是在某些情况下,立功诉讼的理由很难通过法院审理,甚至在最初的积极趋势之后甚至可以从法院消失。另一方面,轻率的主张可以继续蓬勃发展。
更新日期:2016-09-16
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